Analysis of energy storage operation and configuration of high-proportion wind power system

Wind power affects the power balance of the system, and energy storage devices are used to absorb wind energy to achieve the optimal allocation of generator sets and energy storage device resources to meet economic needs. This paper mainly uses single-objective nonlinear programming to solve the optimal solution by the objective function with the least constraint and power generation cost. First, horizontal planning is carried out to find the optimal solution for each time period. In order to reduce wind curtailment without losing load, this paper performs longitudinal planning, and uses the traversal algorithm in Matlab to plan horizontally for each new wind power installed capacity coefficient value, which can filter out the best coefficient. On this basis, the change curve of abandoned air volume, cost and other indicators with the installed probability of wind power can be solved, which intuitively reflects the influence of wind power installation rate on the power balance and cost of the system.